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Helping a Jewellery Retailer Use Data for Smarter Decisions

Our Client


  • A prominent jewelry retailer with multiple stores, a central warehouse, and a growing online presence. They faced challenges with fragmented inventory data, fulfillment delays, and missed sales opportunities.



Problem Statement


  • Fragmented Inventory Visibility
    -  Online shows items “in stock” that aren’t available at stores or DCs
    -  Store staff lack real-time access to inventory across locations

  • Imbalanced Inventory Distribution
    -  Overstock in low-performing stores; stockouts in high-demand regions
    -  Trending items unavailable where demand is highest

  • Inefficient Stock Transfers
    -  Manual, delayed store-to-store or DC-to-store movements
    -  No intelligent system to guide replenishment

  • Fulfillment & Customer Experience Gaps
    -  Delays in online order dispatch due to DC unavailability
    -  Lack of connection between sales recommendations and actual stock


Challenges


  • Data silos between stores, e-commerce, and the distribution center caused poor coordination.

  • Inaccurate stock visibility led to overstocking in some locations and stockouts in others.

  • Online orders were delayed due to limited fulfillment flexibility and lack of dynamic routing.

  • Store staff couldn't access real-time inventory, leading to lost sales and poor customer service.

  • No reliable way to predict demand by region or channel (online vs in-store).

  • Merchandisers and managers lacked real-time insights to act quickly and effectively.


Our Solution


1.  Unified Inventory Visibility

  • Integrated data from POS systems, e-commerce platforms, ERP, and DCs into Microsoft Fabric’s OneLake

  • Delivered a real-time 360° view of inventory by SKU, location, channel, and aging

  • Enabled store staff and managers to make accurate, timely stock decisions

2.   Optimized Inventory Allocations & Transfers

  • Built data models to recommend dynamic transfers between DC and stores

  • Highlighted at-risk items (overstock/stockouts) via Power BI dashboards

  • Sent auto-alerts to merchandisers and DC teams for timely action

3.   Smarter Fulfillment & Omnichannel Enablement

  • Enabled dynamic order fulfillment logic (e.g., fulfill online orders from stores if DC is out)

  • Tracked delivery delays, returns, and cancellations to improve service


Business Impact


  • Reduced delivery timelines through dynamic order routing and improved stock visibility.

  • Predictive analytics ensured trending items were available where demand was highest.

  • Smart inventory movement minimized overstock in low-performing locations.

  • Data-driven recommendations enabled timely and effective stock transfer between locations.

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